A Study of Fairness Concerns in AI-based Mobile App Reviews

no code implementations • 16 Jan 2024 • Ali Rezaei Nasab, Maedeh Dashti, Mojtaba Shahin, Mansooreh Zahedi, Hourieh Khalajzadeh, Chetan Arora, Peng Liang

Finally, the manual analysis of 2, 248 app owners' responses to the fairness reviews identified six root causes (e. g., 'copyright issues') that app owners report to justify fairness concerns.

Fairness

Model-driven Engineering for Machine Learning Components: A Systematic Literature Review

no code implementations • 1 Nov 2023 • Hira Naveed, Chetan Arora, Hourieh Khalajzadeh, John Grundy, Omar Haggag

Through this SLR, we wanted to analyze existing studies, including their motivations, MDE solutions, evaluation techniques, key benefits and limitations.

Anomaly Detection Decision Making